Job Details

Weekly Hours: 40

Role Number: 200625483-3956

Summary

Apps are changing the world and enriching people’s lives, driven by developers dedicated to creating extraordinary experiences that delight customers. Apple’s Worldwide Developer Relations team (WWDR) provides the services, resources and guidance that empowers the world’s most dynamic developer community to push the boundaries of innovation and bring the next big app ideas to Apple’s platforms for customers worldwide. WWDR also offers programs to help developers connect with experts, learn about the latest Apple tools and technologies, and adopt best practices to supercharge app development.

As a Quality Analyst, you will be at the forefront of improving our operational quality to align with our business goals. By leveraging data and analytics, you'll support operational efficiency, and developer success across App Review’s global operations.

Description

We are seeking an experienced Quality Analyst to help design, implement, and maintain a robust Performance Quality Program. This role is critical to ensuring operational excellence through data-driven insights, statistical controls, and process improvements. The ideal candidate combines strong analytical expertise with quality management knowledge, root cause analysis skills, and the ability to influence at all levels of the organization.

Minimum Qualifications

• 2+ years in quality program management, operations analysis, or process improvement in a customer service environment.

• Proven experience in building or supporting a quality program and improving performance outcomes.

• Proficient in Excel, SQL, and R for data manipulation, analysis, and visualization.

• Expertise in root cause analysis and corrective action development.

Preferred Qualifications

• Strong understanding of statistical methods, regression models, and SPC techniques.

• Familiarity with industry quality standards and audit practices.

• Experience with internal and external quality or regulatory compliance auditing.

• Knowledge of predictive modeling, machine learning fundamentals, or advanced statistical methods.

• Experience in technology, or supply chain industries.

• Ability to translate complex data into actionable insights and business recommendations.

• Strong communication skills with executive presence to present findings to senior leadership.

• Collaborative mindset to work across multiple teams and functions.

• Bachelor’s degree in Data Analytics, Statistics, Quality Management, Business, or related field (or equivalent experience).

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $88,300 and $166,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .